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centres as controllable electricity loads. Topics include temporal and spatial shifting of computing workloads, the use of on-site energy storage and backup capacity, thermal flexibility and waste heat
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is suited to candidates with a PhD awarded or close to completion (or equivalent experience), in electrical machines, drives, control, real-time simulation, or a closely related engineering discipline
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PhDs form the scientific/technological backbone, jointly addressing microbial contamination and physicochemical variability as interconnected drivers of quality loss. PhD1 (KU Leuven - UNIMUS
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analyse these data, including appropriate quality control, and work with a wider team to integrate these data with additional relevant measurements, including genotypic and clinical data. The successful
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» Thermal engineering Chemistry » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 6 Oct 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary
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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
metrology, and quality control for next-generation energy storage devices. [1] https://doi.org/10.1016/j.jpowsour.2024.234050 Scholarship: The award will cover the UK tuition fee level, plus a tax-free
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are disclosed in a publicly available list at: https://www.dataprivacyframework.gov/list . Rights of Data Subjects The controller provides you (after contacting the entity conducting the recruitment process and
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of Mechanical Engineering in collaboration with the Department of Systems and Control Engineering and a Maltese industrial partner. The RSO may also be required to work on other projects undertaken by
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Albert-Ludwigs Universität Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 16 days ago
Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 18:22 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week
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rigorous impact evaluation approaches – e.g. randomised controlled trials – and the statistical analysis of the resulting data to build robust evidence of what works in preventing and reducing corruption